This page has only limited features, please log in for full access.

Unclaimed
Nicole Christoff
Faculty of Telecommunications, Technical University of Sofia, 1756 Sofia, Bulgaria

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 06 July 2021 in Sustainability
Reads 0
Downloads 0

The need to identify wood by its anatomical features requires a detailed analysis of all the elements that make it up. This is a significant problem of structural wood science, the most general and complete solution of which is yet to be sought. In recent years, increasing attention has been paid to the use of computer vision methods to automate processes such as the detection, identification, and classification of different tissues and different tree species. The more successful use of these methods in wood anatomy requires a more precise and comprehensive definition of the anatomical elements, according to their geometric and topological characteristics. In this article, we conduct a detailed analysis of the limits of variation of the location and grouping of vessels in the observed microscopic samples. The present development offers criteria and quantitative indicators for defining the terms shape, location, and group of wood tissues. It is proposed to differentiate the quantitative indicators of the vessels depending on their geometric and topological characteristics. Thus, with the help of computer vision technics, it will be possible to establish topological characteristics of wood vessels, the extraction of which would be used to develop an algorithm for the automatic classification of tree species.

ACS Style

Nikolai Bardarov; Vladislav Todorov; Nicole Christoff. Geometric and Topological Bases of a New Classification of Wood Vascular Tissues Part 1: Shape and Arrangement Classifications of Vessels. Sustainability 2021, 13, 7545 .

AMA Style

Nikolai Bardarov, Vladislav Todorov, Nicole Christoff. Geometric and Topological Bases of a New Classification of Wood Vascular Tissues Part 1: Shape and Arrangement Classifications of Vessels. Sustainability. 2021; 13 (14):7545.

Chicago/Turabian Style

Nikolai Bardarov; Vladislav Todorov; Nicole Christoff. 2021. "Geometric and Topological Bases of a New Classification of Wood Vascular Tissues Part 1: Shape and Arrangement Classifications of Vessels." Sustainability 13, no. 14: 7545.

Article
Published: 08 October 2020 in The Moon and the Planets
Reads 0
Downloads 0

One of the challenges of planetary science is the age determination of geological units on the surface of the different planetary bodies in the solar system. This serves to establish a chronology of the geological events occurring on these different bodies, hence to understand their formation and evolution processes. An approach for dating planetary surfaces relies on the analysis of the impact crater densities with size. Approaches have been proposed to automatically detect impact craters in order to facilitate the dating process. They rely on color values from images or elevation values from Digital Elevation Models (DEM). In this article, we propose a new approach for crater detection, more specifically using their rims. The craters can be characterized by a round shape that can be used as a feature. The developed method is based on an analysis of the DEM geometry, represented as a 3D mesh, followed by curvature analysis. The classification process is done with one layer perceptron. The validation of the method is performed on DEMs of Mars, acquired by a laser altimeter aboard NASA’s Mars Global Surveyor spacecraft and combined with a database of manually identified craters. The results show that the proposed approach significantly reduces the number of false negatives compared to others based on topographic information only.

ACS Style

Nicole Christoff; Laurent Jorda; Sophie Viseur; Sylvain Bouley; Agata Manolova; Jean-Luc Mari. Automated Extraction of Crater Rims on 3D Meshes Combining Artificial Neural Network and Discrete Curvature Labeling. The Moon and the Planets 2020, 124, 51 -72.

AMA Style

Nicole Christoff, Laurent Jorda, Sophie Viseur, Sylvain Bouley, Agata Manolova, Jean-Luc Mari. Automated Extraction of Crater Rims on 3D Meshes Combining Artificial Neural Network and Discrete Curvature Labeling. The Moon and the Planets. 2020; 124 (3-4):51-72.

Chicago/Turabian Style

Nicole Christoff; Laurent Jorda; Sophie Viseur; Sylvain Bouley; Agata Manolova; Jean-Luc Mari. 2020. "Automated Extraction of Crater Rims on 3D Meshes Combining Artificial Neural Network and Discrete Curvature Labeling." The Moon and the Planets 124, no. 3-4: 51-72.

Conference paper
Published: 04 October 2017 in MATEC Web of Conferences
Reads 0
Downloads 0
ACS Style

Nikolay Dandanov; Plamen Semov; Antoni Ivanov; Nicole Christoff; Vladimir Poulkov. Communication Framework for Tele-rehabilitation Systems with QoS Guarantee. MATEC Web of Conferences 2017, 125, 3008 .

AMA Style

Nikolay Dandanov, Plamen Semov, Antoni Ivanov, Nicole Christoff, Vladimir Poulkov. Communication Framework for Tele-rehabilitation Systems with QoS Guarantee. MATEC Web of Conferences. 2017; 125 ():3008.

Chicago/Turabian Style

Nikolay Dandanov; Plamen Semov; Antoni Ivanov; Nicole Christoff; Vladimir Poulkov. 2017. "Communication Framework for Tele-rehabilitation Systems with QoS Guarantee." MATEC Web of Conferences 125, no. : 3008.

Conference paper
Published: 01 October 2017 in 2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)
Reads 0
Downloads 0

In this paper, we propose a novel feature extraction algorithm based on curvature analysis over the 3D data and the grayscale information extracted from the images. The performance of the method is tested on 3D mesh data, provided by Mars Orbiter Laser Altimeter (MOLA) and compared to benchmark research work. The experimental results demonstrate that the proposed method can achieve better accuracy in comparison with other crater detection methods and have smaller computational complexity.

ACS Style

Nicole Christoff; Agata Manolova; Laurent Jorda; Jean-Luc Mari. Feature extraction and automatic detection of martian impact craters from 3D meshes. 2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) 2017, 211 -214.

AMA Style

Nicole Christoff, Agata Manolova, Laurent Jorda, Jean-Luc Mari. Feature extraction and automatic detection of martian impact craters from 3D meshes. 2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS). 2017; ():211-214.

Chicago/Turabian Style

Nicole Christoff; Agata Manolova; Laurent Jorda; Jean-Luc Mari. 2017. "Feature extraction and automatic detection of martian impact craters from 3D meshes." 2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) , no. : 211-214.